Update README.md

README.md

@@ -12,7 +12,7 @@ https://huggingface.co/Seikaijyu/RWKV7-2.9B-v3-UnlimitedRP-mini-novel-chat-previ
 
 Based on my experience, Q4_K_S and Q4_K_M are usually the balance points between model size, quantization, and speed.
 
-In some benchmarks, selecting a large-parameter low-quantization LLM tends to perform better than a small-parameter high-quantization LLM.
+In some benchmarks, selecting a large-parameter high-quantization LLM tends to perform better than a small-parameter low-quantization LLM.
 
 根据我的经验，通常Q4_K_S、Q4_K_M是模型尺寸/量化/速度的平衡点